Evidence map›Paper›PMID 33122629›Full record

ArticleNature communications2020

Mutualistic networks emerging from adaptive niche-based interactions.

Weiran Cai, Jordan Snyder, Alan Hastings, Raissa M D'Souza

Abstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Weiran CaiDepartment of Computer Science, University of California at Davis, Davis, CA, 95616, USA. wrcai@ucdavis.edu.ORCID 0000-0002-9791-1657
Jordan SnyderComplexity Sciences Center, UC Davis, Davis, CA, 95616, USA.
Alan HastingsComplexity Sciences Center, UC Davis, Davis, CA, 95616, USA.
Raissa M D'SouzaDepartment of Computer Science, University of California at Davis, Davis, CA, 95616, USA. raissa@cse.ucdavis.edu.ORCID 0000-0003-1602-7243

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mutualistic networks are vital ecological and social systems shaped by adaptation and evolution. They involve bipartite cooperation via the exchange of goods or services between actors of different types. Empirical observations of mutualistic networks across genres and geographic conditions reveal correlated nested and modular patterns. Yet, the underlying mechanism for the network assembly remains unclear. We propose a niche-based adaptive mechanism where both nestedness and modularity emerge simultaneously as complementary facets of an optimal niche structure. Key dynamical properties are revealed at different timescales. Foremost, mutualism can either enhance or reduce the network stability, depending on competition intensity. Moreover, structural adaptations are asymmetric, exhibiting strong hysteresis in response to environmental change. Finally, at the evolutionary timescale we show that the adaptive mechanism plays a crucial role in preserving the distinctive patterns of mutualism under species invasions and extinctions.

Indexed as

Food ChainModels, TheoreticalSymbiosisAnimalsBiological EvolutionComputational BiologyEcologyEcosystem

Identifiers

PMID33122629
PMCPMC7596068

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.